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Data X:
100.00 100.00 93.55 88.17 89.25 91.40 92.47 91.40 88.17 87.10 84.95 92.47 93.55 93.55 91.40 90.32 91.40 93.55 93.55 92.47 91.40 89.25 86.02 88.17 87.10 87.10 86.02 84.95 84.95 86.02 86.02 84.95 86.02 82.80 77.42 80.65 78.49 75.27 75.27 75.27 77.42 78.49 76.34 73.12 68.82 65.59 69.89 82.80 84.95 80.65 74.19 70.97 74.19 82.80 86.02 86.02 82.80 78.49 79.57 87.10 89.25
Data Y:
100.00 110.08 123.28 106.30 114.60 110.22 117.82 138.84 131.13 153.26 148.76 110.75 132.00 138.55 126.50 119.47 152.49 152.46 134.08 162.33 130.46 142.83 148.39 122.88 125.86 133.31 140.97 110.30 123.04 125.99 112.24 136.10 111.86 109.63 135.75 114.39 121.79 101.33 147.01 113.01 101.89 117.85 128.68 117.27 121.55 109.18 127.88 104.92 100.93 116.79 107.50 109.18 128.31 83.80 93.16 103.99 106.33 97.55 111.71 105.43 103.62
Data Z:
100.00 100.00 103.56 103.77 98.54 93.10 91.63 90.38 89.33 87.24 85.15 84.10 82.64 81.59 81.59 81.17 81.38 81.38 82.22 82.43 83.05 83.68 84.52 87.45 90.38 91.42 92.05 91.63 91.21 91.21 92.05 92.26 92.68 92.47 93.31 96.44 100.00 102.09 103.56 103.56 103.14 103.14 102.72 102.09 101.05 101.05 101.46 104.39 107.53 110.04 111.51 110.46 104.39 99.37 96.86 94.56 94.14 93.72 93.93 95.61 97.07
R Code
(rho12 <- cor(x, y)) (rho23 <- cor(y, z)) (rho13 <- cor(x, z)) (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23)))) (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23)))) (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13)))) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Pearson Product Moment Partial Correlation - Ungrouped Data',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistic',1,TRUE) a<-table.element(a,'Value',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation r(xy)',header=TRUE) a<-table.element(a,rho12) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xy.z)',''),header=TRUE) a<-table.element(a,rhoxy_z) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation r(xz)',header=TRUE) a<-table.element(a,rho13) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xz.y)',''),header=TRUE) a<-table.element(a,rhoxz_y) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation r(yz)',header=TRUE) a<-table.element(a,rho23) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(yz.x)',''),header=TRUE) a<-table.element(a,rhoyz_x) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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